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your motivation to study this PhD project and your CV. For more information on the group visit: www.deboresearchgroup.com Contact Prof. Guillaume De Bo: guillaume.debo@manchester.ac.uk
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2026 Additional Funding Information This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD CASE studentship with Inspiralis Limited. The studentship
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or international equivalent in a subject relevant to the proposed PhD project (e.g. chemical engineering, mechanical engineering, civil engineering) is our standard entry, however we place value on prior experience
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to develop the new processes, process technologies and green chemistries required for the process industries’ transition to Net Zero. This PhD will focus on scaling up and optimising MEC technology for real
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, Renewable Energy Systems Technology, Physics, or an appropriate Master’s degree. English language requirements: Applicants must meet the minimum English language requirements . Funding information
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience studying bumblebee behaviour
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(mammalian cell culture, lentiviral transduction, flow cytometry and FACS, Illumina sequencing and bioinformatic data analysis. You should have (or be close to completion of) a PhD in molecular/cell biology
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are based in the Departments of Physics, Chemistry, Engineering, Materials or another relevant department across the University. The Midi research project is typically linked closely to the intended PhD
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School of Social Sciences and Humanities / Department of Geography and Environment. Please quote the advertised reference number: FCDT-26-LU5 in your application. This PhD is being advertised as part of